Kate Farris, Ph.D. Email & Phone Number

Seattle, WA, US

Seattle, Washington, United States

Seattle, Washington, United States

• Designated to build scalable data operations for over 2,000+ person org in Siri and Language Technologies. Led Audio, Music, and Podcast (AMP) partnership for product launch and business funnel data analytics.
• Drove scalable solutions to deliver >30 derived/foundational datasets quarterly, directly enabling development of 99 metrics with dashboards for 20+ Siri product use-cases for 2,000+ eng. and data sci.
• Product lead with Sr. Data Eng. Manager on data enablement roadshow of 200+ eng./data scientists impacting increased dataset awareness and incorporating quarterly data request process feedback.
• Co-led server-side data sampling strategy research by surveying 40+ eng./data scientists to articulate impact of 10% logging reduction. Led to Siri Assistant server optimizations and de-duplicated logging to reduce.
• Product lead with Eng. Manager for exec. leadership communications on Apple Music Voice logging fixes with Root-Cause Analysis (RCA) readout and process change implementation.

Greater Seattle Area

• Selected to lead $1M+ industry partnership program, security and compliance AI strategy, and streamline team business ops.
• Directed $1M+ AIML external collaborations portfolio and guided 10-person committee in reviews/evaluations/reports, impacted 12 enterprise products.
• AIML lead with Partner Research Mgr. for exec-sponsored “AI Intensity”; conducted AI gaps analysis across M365 Security & Compliance products to inform VP-level strategy. Industry Partnerships: Microsoft Security AI.
• Product lead for Compliance data team; impacted 9 products via data grading strategy proposal, earning $1.6M. Delivered weekly large language model comms to 40-person exec. list, and ran team operations.
• Built Security Incident Response (SIR) program with ops procedures and playbook from ground up. Streamlined across 10k employees in Microsoft Research/Bing.

Greater Seattle Area

• Lead AI security scientist for the development and experimentation of deep learning, reinforcement learning, and machine learning to cyber-security use cases.
• Developed Intrusion Detection System (IDS) classifier with operational red-team/blue-team data and a Recurrent Neural Net (RNN) for DoE Unclassified Cyber Security.
• Drove adoption and integration of data science solutions for more principled management, remediation, and mitigation of enterprise vulnerabilities.
• Led and defined AI-methods to abstract security metrics in Cyber-Physical Systems (CPS) for NIST framework.

Greater Seattle Area

• Selected as top fellowship candidate in 6-month program to address complex, vague industry topics in AIML and statistical research.
• Consulted for Switch Ventures (early stage venture capital firm):
• Set up MySQL database; built logistic regression predictive models using Python
• Discovered professional degrees are strongly correlated IPO/acquisitions > $100M
• Mentor/advise new fellows on machine learning/statistical models and job interviews.

Hanover, NH

• Grant #1: Adaptive Cyber Defense through Adversarial Modeling and Control Analysis
• Spearheaded expert survey to measure effectiveness, implementation costs and computational costs for adaptive cyber defenses.
• Lead data scientist for down-selection of dominant cyber network defense strategies.Grant #2: Quantifying and Assessing Covertness in Adversarial Environments
• Motivated team member responsible for surveying, assessing and implementing different visualization implementations that can enhance network detection capabilities of covert assets.

Hanover, NH

Lead teacher's assistant for Discrete and Probabilisitic Systems (ENGS 27), covering content in probabilistic modeling, queueing theory, and stochastic simulations (Fall Term, 2013).

Awarded Science, Mathematics and Research for Transformation scholarship through the DoD to support my PhD.

Air Force Research Laboratory, Dayton, OH

• AI Security Scientist lead across broad portfolio of government initiatives.
• Ran 250-person summer intern program x 3 yrs, managed 3 visiting professors.
• Implemented optimization/statistical algorithms to triage data center vulnerabilities resulting in 10% risk reduction, saving $50,000/year for 3-person security team managing 2,000+ hosts.
• Built prediction model for vulnerability survival rates using R programming
• Simulated, analyzed, modeled Brownian motion as method to understand stochastic resonance in non-linear systems (published results in international journal, see my google scholar profile for more.

Tucson, AZ

Selected by third best public high school in United States to design and teach a new eighth-grade economics curriculum while I was still in college.

Doctor Of Philosophy (Ph.D.), Engineering Science - Computational Science And Engineering

Thesis: Quantification and Analysis of Cyber-Security Operations Center Vulnerability Data; Advisor and Thesis Chair: Prof. George.

Bachelor Of Science (Bs), Major: Mathematics, Minor: Economics

Activities and Societies: Full ride scholarship recipient, University of Arizona Cycling, Russian Language ImmersionAfter obtaining my.